From 4f7bc1991f77f2af1e1bacc7b6e0554655b06aae Mon Sep 17 00:00:00 2001
From: Peter Jung <peter@jung.ninja>
Date: Thu, 5 Sep 2024 13:32:25 +0200
Subject: [PATCH] OFVChallenger (#440)

---
 poetry.lock                                   | 877 +++++++++---------
 .../agents/ofvchallenger_agent/deploy.py      | 143 ++-
 .../agents/ofvchallenger_agent/ofv_models.py  |   4 +-
 .../omen_resolve_replicated.py                |  59 +-
 pyproject.toml                                |   2 +-
 5 files changed, 630 insertions(+), 455 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 1a4ef27..32f599c 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
 
 [[package]]
 name = "aiohappyeyeballs"
@@ -665,17 +665,17 @@ numpy = {version = ">=1.19.0", markers = "python_version >= \"3.9\""}
 
 [[package]]
 name = "boto3"
-version = "1.35.10"
+version = "1.35.12"
 description = "The AWS SDK for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "boto3-1.35.10-py3-none-any.whl", hash = "sha256:add26dd58e076dfd387013da4704716d5cff215cf14f6d4347c4b9b7fc1f0b8e"},
-    {file = "boto3-1.35.10.tar.gz", hash = "sha256:189ab1e2b4cd86df56f82438d89b4040eb140c92683f1bda7cb2e62624f20ea5"},
+    {file = "boto3-1.35.12-py3-none-any.whl", hash = "sha256:acaa7c75cbf483605e3c46e9ac03043a4cf5e9866940122d68b06d1defe00774"},
+    {file = "boto3-1.35.12.tar.gz", hash = "sha256:b32faab174f6f9b75fada27bcf054ab3e8846bd410ed9817d0b511109326b6b1"},
 ]
 
 [package.dependencies]
-botocore = ">=1.35.10,<1.36.0"
+botocore = ">=1.35.12,<1.36.0"
 jmespath = ">=0.7.1,<2.0.0"
 s3transfer = ">=0.10.0,<0.11.0"
 
@@ -684,13 +684,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.35.10"
+version = "1.35.12"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "botocore-1.35.10-py3-none-any.whl", hash = "sha256:0d96d023b9b0cea99a0a428a431d011329d3a958730aee6ed6a6fec5d9bfbc03"},
-    {file = "botocore-1.35.10.tar.gz", hash = "sha256:6c8a1377b6636a0d80218115e1cd41bcceba0a2f050b79c206f4cf8d002c54d7"},
+    {file = "botocore-1.35.12-py3-none-any.whl", hash = "sha256:cb787030415438ea6ff8381f8acd8b1107593d5ebea457fd843a5e36ba19e9a4"},
+    {file = "botocore-1.35.12.tar.gz", hash = "sha256:a8f8230032d090225a93763675a73c208d121bb63ed99f41ee6ad3d51b74b80d"},
 ]
 
 [package.dependencies]
@@ -818,78 +818,78 @@ files = [
 
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+version = "1.17.1"
 description = "Foreign Function Interface for Python calling C code."
 optional = false
 python-versions = ">=3.8"
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 [package.dependencies]
@@ -1547,38 +1547,38 @@ pytz = "*"
 
 [[package]]
 name = "cryptography"
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 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
 optional = false
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 ]
 
 [package.dependencies]
@@ -1591,7 +1591,7 @@ nox = ["nox"]
 pep8test = ["check-sdist", "click", "mypy", "ruff"]
 sdist = ["build"]
 ssh = ["bcrypt (>=3.1.5)"]
-test = ["certifi", "cryptography-vectors (==43.0.0)", "pretend", "pytest (>=6.2.0)", "pytest-benchmark", "pytest-cov", "pytest-xdist"]
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 test-randomorder = ["pytest-randomly"]
 
 [[package]]
@@ -2331,13 +2331,13 @@ test = ["pytest (>=6)"]
 
 [[package]]
 name = "faker"
-version = "28.1.0"
+version = "28.4.1"
 description = "Faker is a Python package that generates fake data for you."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -2697,13 +2697,13 @@ files = [
 
 [[package]]
 name = "fsspec"
-version = "2024.6.1"
+version = "2024.9.0"
 description = "File-system specification"
 optional = false
 python-versions = ">=3.8"
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 ]
 
 [package.extras]
@@ -2868,13 +2868,13 @@ httplib2 = ">=0.19.0"
 
 [[package]]
 name = "google-cloud-aiplatform"
-version = "1.64.0"
+version = "1.65.0"
 description = "Vertex AI API client library"
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -2895,21 +2895,20 @@ autologging = ["mlflow (>=1.27.0,<=2.1.1)"]
 cloud-profiler = ["tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "werkzeug (>=2.0.0,<2.1.0dev)"]
 datasets = ["pyarrow (>=10.0.1)", "pyarrow (>=14.0.0)", "pyarrow (>=3.0.0,<8.0dev)"]
 endpoint = ["requests (>=2.28.1)"]
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@@ -3174,13 +3173,13 @@ websockets = ["websockets (>=10,<12)"]
 
 [[package]]
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+version = "3.2.4"
 description = "GraphQL implementation for Python, a port of GraphQL.js, the JavaScript reference implementation for GraphQL."
 optional = false
-python-versions = ">=3.6,<4"
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 ]
 
 [[package]]
@@ -4038,115 +4037,125 @@ testing = ["pytest (>=6)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-ena
 
 [[package]]
 name = "kiwisolver"
-version = "1.4.5"
+version = "1.4.7"
 description = "A fast implementation of the Cassowary constraint solver"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 [[package]]
@@ -4177,19 +4186,19 @@ adal = ["adal (>=1.0.2)"]
 
 [[package]]
 name = "langchain"
-version = "0.2.15"
+version = "0.2.16"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
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 async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
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 langsmith = ">=0.1.17,<0.2.0"
 numpy = {version = ">=1,<2", markers = "python_version < \"3.12\""}
@@ -4239,20 +4248,20 @@ langchain-community = ["langchain-community (>=0.2.4)"]
 
 [[package]]
 name = "langchain-community"
-version = "0.2.15"
+version = "0.2.16"
 description = "Community contributed LangChain integrations."
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
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 langsmith = ">=0.1.0,<0.2.0"
 numpy = {version = ">=1,<2", markers = "python_version < \"3.12\""}
 PyYAML = ">=5.3"
@@ -4262,13 +4271,13 @@ tenacity = ">=8.1.0,<8.4.0 || >8.4.0,<9.0.0"
 
 [[package]]
 name = "langchain-core"
-version = "0.2.37"
+version = "0.2.38"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.8.1"
 files = [
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 [package.dependencies]
@@ -4282,18 +4291,18 @@ typing-extensions = ">=4.7"
 
 [[package]]
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+version = "0.0.65"
 description = "Building applications with LLMs through composability"
 optional = false
 python-versions = "<4.0,>=3.8.1"
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+langchain-community = ">=0.2.16,<0.3.0"
+langchain-core = ">=0.2.38,<0.3.0"
 
 [[package]]
 name = "langchain-openai"
@@ -4330,17 +4339,17 @@ pinecone-client = ">=5.0.0,<6.0.0"
 
 [[package]]
 name = "langchain-text-splitters"
-version = "0.2.2"
+version = "0.2.4"
 description = "LangChain text splitting utilities"
 optional = false
 python-versions = "<4.0,>=3.8.1"
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 [package.dependencies]
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 [[package]]
 name = "langcodes"
@@ -4387,13 +4396,13 @@ openai = ["openai (>=0.27.8)"]
 
 [[package]]
 name = "langsmith"
-version = "0.1.109"
+version = "0.1.114"
 description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
 optional = false
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 ]
 
 [package.dependencies]
@@ -5769,36 +5778,36 @@ signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"]
 
 [[package]]
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-version = "1.19.0"
+version = "1.19.2"
 description = "ONNX Runtime is a runtime accelerator for Machine Learning models"
 optional = false
 python-versions = "*"
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 ]
 
 [package.dependencies]
@@ -10850,4 +10859,4 @@ type = ["pytest-mypy"]
 [metadata]
 lock-version = "2.0"
 python-versions = "~3.10.0"
-content-hash = "30c941152cdcbd86292b39dd5290b98dcc50e59ddba090f3271e26a84b5b082d"
+content-hash = "6e53c60793d48479b6320669f1ce98f27db1c4d18c0807d4bf534b86e79195b5"
diff --git a/prediction_market_agent/agents/ofvchallenger_agent/deploy.py b/prediction_market_agent/agents/ofvchallenger_agent/deploy.py
index dcdbd82..921316f 100644
--- a/prediction_market_agent/agents/ofvchallenger_agent/deploy.py
+++ b/prediction_market_agent/agents/ofvchallenger_agent/deploy.py
@@ -1,10 +1,54 @@
+from datetime import timedelta
+
 from prediction_market_agent_tooling.deploy.agent import DeployableAgent
+from prediction_market_agent_tooling.gtypes import ChecksumAddress, xdai_type
+from prediction_market_agent_tooling.loggers import logger
 from prediction_market_agent_tooling.markets.markets import MarketType
+from prediction_market_agent_tooling.markets.omen.data_models import (
+    OmenMarket,
+    RealityResponse,
+)
+from prediction_market_agent_tooling.markets.omen.omen_resolving import (
+    Resolution,
+    omen_submit_answer_market_tx,
+    omen_submit_invalid_answer_market_tx,
+)
+from prediction_market_agent_tooling.markets.omen.omen_subgraph_handler import (
+    OmenSubgraphHandler,
+)
 from prediction_market_agent_tooling.tools.langfuse_ import observe
+from prediction_market_agent_tooling.tools.utils import utcnow
+from pydantic import BaseModel
+from web3 import Web3
 
+from prediction_market_agent.agents.ofvchallenger_agent.ofv_resolver import (
+    ofv_answer_binary_question,
+)
+from prediction_market_agent.agents.replicate_to_omen_agent.omen_resolve_replicated import (
+    claim_all_bonds_on_reality,
+)
 from prediction_market_agent.utils import APIKeys
 
 OFV_CHALLENGER_TAG = "ofv_challenger"
+OFV_CHALLENGER_EOA_ADDRESS = Web3.to_checksum_address(
+    "0x03aEEE267A985ab9835c025377F0D8209901a928"
+)
+OFV_CHALLENGER_SAFE_ADDRESS = Web3.to_checksum_address(
+    "0x9D0260500ba7b068b5b0f4AfA9F8864eBc0B059a"
+)
+CHALLENGE_BOND = xdai_type(10)
+# We benchmarked OFV only against Olas market-creators.
+MARKET_CREATORS_TO_CHALLENGE: list[ChecksumAddress] = [
+    # Olas market-creator 0.
+    Web3.to_checksum_address("0x89c5cc945dd550bcffb72fe42bff002429f46fec"),
+    # Olas market-creator 1.
+    Web3.to_checksum_address("0xffc8029154ecd55abed15bd428ba596e7d23f557"),
+]
+
+
+class Challenge(BaseModel):
+    old_responses: list[RealityResponse]
+    new_resolution: Resolution
 
 
 class OFVChallengerAgent(DeployableAgent):
@@ -12,10 +56,101 @@ def run(self, market_type: MarketType) -> None:
         if market_type != MarketType.OMEN:
             raise RuntimeError("Can challenge only Omen.")
 
-        self.challenge()
+        api_keys = APIKeys()
+        self.challenge(api_keys)
 
     @observe()
-    def challenge(self) -> None:
+    def challenge(self, api_keys: APIKeys) -> None:
         self.langfuse_update_current_trace(tags=[OFV_CHALLENGER_TAG])
-        APIKeys()
-        # TODO: Coming in the next PR.
+
+        # Claim the bonds as first thing, to have funds for the new challenges.
+        claim_all_bonds_on_reality(api_keys)
+
+        markets_open_for_answers = OmenSubgraphHandler().get_omen_binary_markets(
+            limit=None,
+            creator_in=MARKET_CREATORS_TO_CHALLENGE,
+            # We need markets already opened for answers.
+            opened_before=utcnow(),
+            # With a little bandwidth for the market to be finalized,
+            # so we have time for processing it without erroring out at the end.
+            finalized_after=utcnow() + timedelta(minutes=30),
+        )
+        logger.info(f"Found {len(markets_open_for_answers)} markets to challenge.")
+
+        for market in markets_open_for_answers:
+            self.challenge_market(market, api_keys)
+
+    @observe()
+    def challenge_market(
+        self,
+        market: OmenMarket,
+        api_keys: APIKeys,
+        web3: Web3 | None = None,
+    ) -> Challenge | None:
+        logger.info(f"Challenging market {market.url=}")
+
+        existing_responses = OmenSubgraphHandler().get_responses(
+            question_id=market.question.id
+        )
+        logger.info(
+            f"{market.url=}'s responses and bonds: {[(r.answer, r.bond_xdai) for r in existing_responses]}"
+        )
+
+        # We don't plan to re-challenge markets already challenged by the challenger, should we?
+        if any(
+            response.user_checksummed == OFV_CHALLENGER_SAFE_ADDRESS
+            for response in existing_responses
+        ):
+            logger.info(
+                f"Market {market.url=} already challenged by challenger. Skipping."
+            )
+            return None
+
+        # Next bond needs to be at least double the previous one.
+        if any(
+            response.bond_xdai >= CHALLENGE_BOND / 2 for response in existing_responses
+        ):
+            logger.info(
+                f"Market {market.url=} already challenged with bond > {CHALLENGE_BOND} / 2. Skipping."
+            )
+            return None
+
+        try:
+            answer = ofv_answer_binary_question(market.question_title, api_keys)
+        except Exception as e:
+            logger.exception(
+                f"Exception while getting factuality for market {market.url=}. Skipping. Exception: {e}"
+            )
+            return None
+
+        if answer is None:
+            logger.error(
+                f"Failed to get factuality for market {market.url=}, question {market.question_title=}. Skipping."
+            )
+            return None
+
+        new_resolution = (
+            Resolution.from_bool(answer.factuality)
+            if answer.factuality is not None
+            else Resolution.CANCEL
+        )
+        logger.info(
+            f"Challenging market {market.url=} with resolution {new_resolution=}"
+        )
+
+        if new_resolution != Resolution.CANCEL:
+            omen_submit_answer_market_tx(
+                api_keys=api_keys,
+                market=market,
+                resolution=new_resolution,
+                bond=CHALLENGE_BOND,
+                web3=web3,
+            )
+        else:
+            omen_submit_invalid_answer_market_tx(
+                api_keys=api_keys, market=market, bond=CHALLENGE_BOND, web3=web3
+            )
+
+        return Challenge(
+            old_responses=existing_responses, new_resolution=new_resolution
+        )
diff --git a/prediction_market_agent/agents/ofvchallenger_agent/ofv_models.py b/prediction_market_agent/agents/ofvchallenger_agent/ofv_models.py
index adcefc8..5d7b486 100644
--- a/prediction_market_agent/agents/ofvchallenger_agent/ofv_models.py
+++ b/prediction_market_agent/agents/ofvchallenger_agent/ofv_models.py
@@ -11,13 +11,13 @@
 class FactCheckClaimDetails(BaseModel):
     claim: str
     factuality: Factuality
-    correction: str | None
+    correction: str | None = None
     reference_url: str
 
 
 class FactCheckResult(BaseModel):
     factuality: Factuality
-    claims_details: list[FactCheckClaimDetails] | None
+    claims_details: list[FactCheckClaimDetails] | None = None
 
 
 class FactCheckAnswer(BaseModel):
diff --git a/prediction_market_agent/agents/replicate_to_omen_agent/omen_resolve_replicated.py b/prediction_market_agent/agents/replicate_to_omen_agent/omen_resolve_replicated.py
index 7da2289..4caff54 100644
--- a/prediction_market_agent/agents/replicate_to_omen_agent/omen_resolve_replicated.py
+++ b/prediction_market_agent/agents/replicate_to_omen_agent/omen_resolve_replicated.py
@@ -1,9 +1,12 @@
-from datetime import timedelta
+from datetime import datetime, timedelta
 
 from prediction_market_agent_tooling.config import APIKeys
-from prediction_market_agent_tooling.gtypes import HexAddress, HexBytes
+from prediction_market_agent_tooling.gtypes import HexAddress, HexBytes, xDai, xdai_type
 from prediction_market_agent_tooling.loggers import logger
-from prediction_market_agent_tooling.markets.omen.data_models import RealityQuestion
+from prediction_market_agent_tooling.markets.omen.data_models import (
+    RealityQuestion,
+    RealityResponse,
+)
 from prediction_market_agent_tooling.markets.omen.omen_resolving import (
     claim_bonds_on_realitio_questions,
     finalize_markets,
@@ -14,16 +17,23 @@
     OmenSubgraphHandler,
 )
 from prediction_market_agent_tooling.tools.balances import get_balances
+from prediction_market_agent_tooling.tools.langfuse_ import observe
 from prediction_market_agent_tooling.tools.utils import utcnow
 from pydantic import BaseModel
 
 
+class ClaimResult(BaseModel):
+    claimed_question_ids: list[HexBytes]
+    claimed: xDai
+
+
 class FinalizeAndResolveResult(BaseModel):
     finalized: list[HexAddress]
     resolved: list[HexAddress]
-    claimed_question_ids: list[HexBytes]
+    claimed: ClaimResult
 
 
+@observe()
 def omen_finalize_and_resolve_and_claim_back_all_markets_based_on_others_tx(
     api_keys: APIKeys,
 ) -> FinalizeAndResolveResult:
@@ -67,24 +77,45 @@ def omen_finalize_and_resolve_and_claim_back_all_markets_based_on_others_tx(
     balances_after_resolution = get_balances(public_key)
     logger.info(f"{balances_after_resolution=}")
 
-    # Fetch questions that are already finalised (last answer is older than 24 hours), but we didn't claim the bonded xDai yet.
-    created_not_claimed_questions: list[
-        RealityQuestion
-    ] = OmenSubgraphHandler().get_questions(
+    claimed = claim_all_bonds_on_reality(api_keys, finalized_before=before)
+
+    return FinalizeAndResolveResult(
+        finalized=finalized_markets,
+        resolved=resolved_markets,
+        claimed=claimed,
+    )
+
+
+@observe()
+def claim_all_bonds_on_reality(
+    api_keys: APIKeys, finalized_before: datetime | None = None
+) -> ClaimResult:
+    # Just to be friendly with time differences.
+    finalized_before = finalized_before or utcnow() - timedelta(hours=1)
+    public_key = api_keys.bet_from_address
+
+    balances_before_claiming = get_balances(public_key)
+    logger.info(f"{balances_before_claiming=}")
+
+    # Fetch our responses that are on already finalised questions, but we didn't claim the bonded xDai yet.
+    responses: list[RealityResponse] = OmenSubgraphHandler().get_responses(
         user=public_key,
-        claimed=False,
-        current_answer_before=before - timedelta(hours=24),
+        question_claimed=False,
+        question_finalized_before=finalized_before,
+    )
+    # Extract only the unique questions out of responses (there could be multiple responses for the same question, but only the whole question can be claimed once).
+    questions: list[RealityQuestion] = list(
+        {r.question.questionId: r.question for r in responses}.values()
     )
     claimed_question_ids = claim_bonds_on_realitio_questions(
         api_keys,
-        created_not_claimed_questions,
+        questions,
         auto_withdraw=True,
     )
     balances_after_claiming = get_balances(public_key)
     logger.info(f"{balances_after_claiming=}")
 
-    return FinalizeAndResolveResult(
-        finalized=finalized_markets,
-        resolved=resolved_markets,
+    return ClaimResult(
         claimed_question_ids=claimed_question_ids,
+        claimed=xdai_type(balances_after_claiming.xdai - balances_before_claiming.xdai),
     )
diff --git a/pyproject.toml b/pyproject.toml
index c5d4824..07d1b34 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -34,7 +34,7 @@ poetry = "^1.7.1"
 poetry-plugin-export = "^1.6.0"
 functions-framework = "^3.5.0"
 cron-validator = "^1.0.8"
-prediction-market-agent-tooling = { version = "^0.48.6", extras = ["langchain", "google"] }
+prediction-market-agent-tooling = { version = "^0.48.11", extras = ["langchain", "google"] }
 pydantic-settings = "^2.1.0"
 autoflake = "^2.2.1"
 isort = "^5.13.2"